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Instead of requiring that all attributes need to be attached to an observation column in a pivoted dataset, attributes which are not so attached should be present on all observations.
The current mechanism for attaching attributtions to observations is in observations.py.
For attributes in a pivoted dataset we should support the following.
"describes_observations": "a value" single observation column, applies to only that column
"describes_observations": False the column applies to all observations
Update the error message for when describes_observations is either not set in pivoted datasets, or doesn't match a column, the user is told to make sure the column is defined correctly, or the the value to false so that the attribute is applicable to all observations.
The text was updated successfully, but these errors were encountered:
Instead of requiring that all attributes need to be attached to an observation column in a pivoted dataset, attributes which are not so attached should be present on all observations.
The current mechanism for attaching attributtions to observations is in observations.py.
For attributes in a pivoted dataset we should support the following.
"describes_observations": "a value"
single observation column, applies to only that column"describes_observations": False
the column applies to all observationsUpdate the error message for when describes_observations is either not set in pivoted datasets, or doesn't match a column, the user is told to make sure the column is defined correctly, or the the value to false so that the attribute is applicable to all observations.
The text was updated successfully, but these errors were encountered: